Cloudera

AUGUST 31, 2018

We learned a lot about data center automation based on real-time application and diagnostic feedback using applied machine learning. The Hyperpilot team is also well at home with Cloudera’s strong engineering culture and focus on providing customers an open platform for innovation.

Machine Learning 67

Machine Learning Artificial Inteligence Analytics Engineering Culture 67

d2iq

AUGUST 17, 2020

For example, teams will be building one stack on cloud provider “A,” a different stack on cloud provider “B,” and a third stack at the edge or in a data center. Empowering Both Developers and Operators When adopting Kubernetes and other cloud native services, it’s important to think about how they’ll impact the engineering culture.

Organization 72

Organization Government eBook Engineering Culture 72

Netflix Tech

JULY 15, 2021

Both were appliances located in our own data center. In the data engineering space, very little of the same technology remains. Our data centers are retired, Hadoop has been replaced by Spark, Ab Initio and our MPP database no longer fits our big data ecosystem. serving members in over 190 countries.

Data Engineering 80

Data Engineering Engineering Data Big Data 80

CircleCI

APRIL 12, 2022

Modern software systems are complex, with services distributed across data centers, in many zones, all around the world. Now we rely on others to manage massive data centers where we borrow small slices of virtual space on shared hardware, traveling over shared networks, all in a system we call the cloud.

Infrastructure 52

Infrastructure Cloud Data Center Test-Driven Development 52

LaunchDarkly

SEPTEMBER 20, 2019

That doesn’t exist in the data center.” When you’re dealing with hundreds of services at massive global scale, across data centers, across regions, across clouds, things get very, very complicated very fast. You can’t just ask for ten thousand machines. They’re like, “Wait a second.

Engineering 9

Engineering Weak Development Team Development Team Review Testing 9

LeanEssays

JULY 14, 2019

They combine this feedback with data-driven approaches to adapt their offerings. They leverage redundancy and automation make sure their code – and data centers – remain stable, secure, and resilient. They have a culture of respect for engineers, and of long-term thinking. They obsess over customers. This is lean.

Software Review 91

Software Review Software Engineering Weak Development Team Continuous Delivery 91